Evidence map›Paper›PMID 40844623›Full record

ArticleArchives of microbiology2025

Strategic targeting of AckA in Mycobacterium tuberculosis using peptide inhibitors.

Sneha Subramaniyan, Hemavathy Nagarajan, Richard Mariadasse, Umashankar Vetrivel, Jeyakanthan Jeyaraman

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sneha SubramaniyanStructural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Science Block, 4th Floor, Karaikudi, 630 003, Tamil Nadu, India.
Hemavathy NagarajanStructural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Science Block, 4th Floor, Karaikudi, 630 003, Tamil Nadu, India.
Richard MariadasseDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, 06511, USA.
Umashankar VetrivelVirology & Biotechnology/Bioinformatics Division, ICMR-National Institute for Research in Tuberculosis, Chennai, 600 031, Tamil Nadu, India.
Jeyakanthan JeyaramanStructural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Science Block, 4th Floor, Karaikudi, 630 003, Tamil Nadu, India. jjbioinformatics@gmail.com.

Funding

DST-INSPIRE DST/INSPIRE Fellowship/2019/IF190083Tamil Nadu State Council for Higher Education RGP/2019-20/ALU/HECP-0049 dated: 27/04/2021
6 · The paper itself

Abstract

Tuberculosis (TB) continues to pose a significant global health challenge, exacerbated by the rise of multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains, which undermine the efficacy of existing therapies. Recent research focuses on anti-tubercular peptides as promising therapeutics due to their direct antimicrobial action and ability to enhance antibiotic efficacy by disrupting mycobacterial membranes. This study aims to identify and characterize potent anti-tubercular peptides targeting Acetate Kinase (AckA), a key enzyme in the metabolism of Mycobacterium tuberculosis. Through peptide virtual screening (PVS), followed by evaluations of cell penetration, toxicity, and MM/GBSA binding energy calculations, we identified five potential lead peptides, namely, DBAASP4864, DBAASP17881, DBAASP7096, DBAASP1043, and DBAASP5585, sourced from curated antimicrobial peptide databases (APD3, DBAASP, DRAMP, AntiTb, SATPdb, and CAMPR3). These candidates were selected based on favorable physicochemical properties, minimal toxicity, and strong binding affinities. Molecular dynamics simulations (MDS) demonstrated the structural stability of the peptide AckA complexes, with increased hydrogen bond formation observed over the simulation trajectories. Further validation through principal component analysis (PCA) and free energy landscape (FEL) mapping revealed a dominant low-energy basin, supporting the conformational stability of the complexes. MM/PBSA analysis confirmed strong binding interactions, and key residues, namely, Asn195, Asp266, Phe267, Gly314, and Asn318, were identified as critical contributors to peptide binding and complex stabilization. The study reveals peptide dynamics, highlighting their therapeutic potential and clinical applicability, while providing a strong foundation for experimental validation and developing next-generation anti-tubercular agents targeting drug-sensitive and drug-resistant M. tuberculosis strains.

Indexed as

Antitubercular AgentsBacterial ProteinsMycobacterium tuberculosisPeptidesHumansMicrobial Sensitivity TestsMolecular Dynamics SimulationTuberculosisAntitubercular AgentsBacterial ProteinsPeptidesAcetate kinaseMDR/XDR tuberculosisMolecular dynamicsPeptide inhibitorsPeptide virtual screening

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.